Víola B. Weeda

645 citations
15 papers · 410 · h-index 11

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver physiology and pathology
    • Vascular Malformations and Hemangiomas
    • Cholangiocarcinoma and Gallbladder Cancer Studies
    • Gastrointestinal disorders and treatments

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 6
    • Liver physiology and pathology 2
    • Cholangiocarcinoma and Gallbladder Cancer Studies 2

Víola B. Weeda

13 papers receiving 403 citations

Peers

Víola B. Weeda
Comparison fields: 5 of 48
  • Hepatology 186
  • Surgery 152
  • Oncology 65
  • Cancer Research 33
  • Epidemiology 71
Replace Przemysław Kluge with:
Przemysław Kluge Poland
Won-Jae Lee South Korea
Yasunori Hasuike Japan
Polly W.Y. Lam China
Takayoshi Fukutomi Japan
Melissa A. Gilbert United States
Vincent Barrau France
F Meriggi Italy
I. Franceschet Italy
Sonja Boyd Finland
Víola B. Weeda relative to Przemysław Kluge Poland Przemysław Kluge's profile →
Citations per field
00.5×3.9×
Przemysław Kluge · 1×
Citations per year

Countries citing papers authored by Víola B. Weeda

Since Specialization
Citations

This map shows the geographic impact of Víola B. Weeda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Víola B. Weeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Víola B. Weeda more than expected).

Fields of papers citing papers by Víola B. Weeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Víola B. Weeda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Víola B. Weeda. The network helps show where Víola B. Weeda may publish in the future.

Co-authors

The 25 scholars most cited alongside Víola B. Weeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Víola B. Weeda Line = papers co-authored together Víola B. Weeda links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201373
2 200862
3 201657
4 201854
5 200834
6 201431
7 201824
8 201421
9 201319
10 202315
11 201615
12 20164
13 20151
14 20250
15 20210

About Víola B. Weeda

Víola B. Weeda is a scholar working on Hepatology, Surgery, Molecular Biology, Epidemiology and Oncology, having authored 15 papers that have together received 410 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Liver physiology and pathology (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Bone and Joint Diseases (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Nuclear Structure and Function (1 paper), Ubiquitin and proteasome pathways (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Hepatology (186 citations), Surgery (152 citations), Oncology (65 citations), Cancer Research (33 citations) and Epidemiology (71 citations). Víola B. Weeda has collaborated with scholars based in Netherlands, United States and Poland. Frequent co-authors include Daniël C. Aronson, Klaske A. C. Booij, Piotr Czauderna, Maciej Murawski, Wouter H. Lamers, Rudolf Maibach, Giorgio Perilongo, Tymen Keller, Marcel Levi and Penelope Brock. Their work appears in journals such as European Journal of Cancer, Pediatric Surgery International, Clinical Cancer Research, Journal of Clinical Oncology and Journal of Biological Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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